key concepts
Rubin Causal Model
Confounding & Selection Bias
Confounding & Selection Bias
Rubin Causal Model(RCM), also known as the potential Outcomes Framework,is one of the most widely used frameworks for causal inference. It is used to define and analyze causal relationships in observational and experimental studies, particularly in settings where randomization is not feasible.
Confounding & Selection Bias
Confounding & Selection Bias
Confounding & Selection Bias
Both confounding and selection bias are important concepts in causal inference.They can distort the estimation of causal relationships between variables, leading to inaccurate conclusions.While they are related, they refer to different issues in data analysis.